Machine learning and future PLM user experience

Few years ago, I wrote about how data can be become a driver to improve user experience in PLM systems. Check out my article – PLM data driven user experience. My favorite example of data drive user experience is coming from Amazon.

As Bezos sees it, the success of electronic retailers will depend on their ability to analyze each customer’s tastes and create unique experiences from the moment they walk in the virtual door. “If we have 4.5 million customers, we shouldn’t have one store,” he says. “We should have 4.5 million stores.” Amazon was one of the first Internet sites to customize pages for each registered customer, offering recommendations for books and music through a process called “collaborative filtering.” Using mathematical formulas, it arrives at predictions by comparing a customer’s previous purchases and stated preferences (click “Not for Me” to weed out lousy suggestions) with the preferences of other people who bought the same titles.

Siemens announced today an expansion of the Digital Innovation Platform with the introduction of the latest version of NX™ software, which has been enhanced with machine learning (ML) and artificial intelligence (AI) capabilities. These new features can predict next steps and update the user interface to help users more efficiently use software to increase productivity. The ability to automatically adapt the user interface to meet the needs of different types of users across multiple departments can result in higher adoption rates, leading to a higher-quality computer-aided technology (CAx) system and the creation of a more robust digital twin.

Here is an interesting snippet about new NX functionality published by Al Dean at Develop3D article.

Essentially, you begin a modeling or detailing activity in NX, then the system knows, through analysis and prediction (the machine learning part) what you’re most likely to do next, so brings up the most commonly used operations or commands.

What is my conclusion? Web companies are using data for decades analyzing what users are doing and optimizing user experience and functions. It is a time for this functionality to come to engineering and manufacturing software. User experience, part purchasing, contractors selection… this is only a few examples where I can see machine learning and AI can shine in the next few years. Just my thoughts…

An interesting post was published by Luna-Tech research about the Business Process Management redefinition. Only few years ago, PLM was very focused about Collaborative Business Processes. These days I see PLM and Business Processes are not going very often together. My take is that PLM learned BPM implementation lessons. It…

A very interesting video presenting how you can track hand motion in the virtual 3D Model. The demo prepared by Robert Y. Wang and Jovan Popović. We demonstrate real-time tracking of the 3-D pose and configuration of the hand for gestural user-input and desktop virtual reality. The only components of our system…